Predictive algorithms for early detection of retinopathy of prematurity. Issue 2 (20th June 2016)

• Record Type: Journal Article
• Authors: Piermarocchi, Stefano; Bini, Silvia; Martini, Ferdinando; Berton, Marianna; Lavini, Anna; Gusson, Elena; Marchini, Giorgio; Padovani, Ezio Maria; Macor, Sara; Pignatto, Silvia; Lanzetta, Paolo; Cattarossi, Luigi; Baraldi, Eugenio; Lago, Paola
• Is Part Of: Acta ophthalmologica. Volume 95:Issue 2(2017)
• Page Start: 158
• Page End: 164
• Publication Date: 2016-06-20
• Subjects: algorithms -- CHOP ROP -- retinopathy of prematurity -- RORScore -- WINROP; Ophthalmology -- Periodicals; 617.7005
• DOI: 10.1111/aos.13117
• Languages: English
• ISSNs: 1755-375X

Abstract

Abstract: Purpose: To evaluate sensitivity, specificity and the safest cut‐offs of three predictive algorithms (WINROP, ROPScore and CHOP ROP) for retinopathy of prematurity (ROP). Methods: A retrospective study was conducted in three centres from 2012 to 2014; 445 preterms with gestational age (GA) ≤ 30 weeks and/or birthweight (BW) ≤ 1500 g, and additional unstable cases, were included. No‐ROP, mild and type 1 ROP were categorized. The algorithms were analysed for infants with all parameters (GA, BW, weight gain, oxygen therapy, blood transfusion) needed for calculation (399 babies). Results: Retinopathy of prematurity (ROP) was identified in both eyes in 116 patients (26.1%), and 44 (9.9%) had type 1 ROP. Gestational age and BW were significantly lower in ROP group compared with no‐ROP subjects (GA: 26.7 ± 2.2 and 30.2 ± 1.9, respectively, p < 0.0001; BW: 839.8 ± 287.0 and 1288.1 ± 321.5 g, respectively, p = 0.0016). Customized alarms of ROPScore and CHOP ROP correctly identified all infants having any ROP or type 1 ROP. WINROP missed 19 cases of ROP, including three type 1 ROP. ROPScore and CHOP ROP provided the best performances with an area under the receiver operating characteristic curve for the detection of severe ROP of 0.93 (95% CI, 0.90–0.96, and 95% CI, 0.89–0.96, respectively), and WINROP obtained 0.83 (95% CI, 0.77–0.87). Median time from alarm to treatment was 11.1, 5.1 and 9.1 weeks, for WINROP, ROPScore and CHOP ROP, respectively. Conclusion: ROPScore and CHOP ROP showed 100% sensitivity to identify sight‐threatening ROP. Predictive algorithms are a reliable tool for early identification of infants requiring referral to an ophthalmologist, for reorganizing resources and reducing stressful procedures to preterm babies.